Endoluminal surface registration for CT colonography using haustral fold matching

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Endoluminal surface registration for CT colonography using haustral fold matching☆

Computed Tomographic (CT) colonography is a technique used for the detection of bowel cancer or potentially precancerous polyps. The procedure is performed routinely with the patient both prone and supine to differentiate fixed colonic pathology from mobile faecal residue. Matching corresponding locations is difficult and time consuming for radiologists due to colonic deformations that occur du...

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Endoluminal surface registration for CT colonography using haustral fold matchingq

Computed Tomographic (CT) colonography is a technique used for the detection of bowel cancer or potentially precancerous polyps. The procedure is performed routinely with the patient both prone and supine to differentiate fixed colonic pathology from mobile faecal residue. Matching corresponding locations is difficult and time consuming for radiologists due to colonic deformations that occur du...

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Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model

CT colonography is routinely performed with the patient prone and supine to differentiate fixed colonic pathology from mobile faecal residue. We propose a novel method to automatically establish correspondence. Haustral folds are detected using a graph cut method applied to a surface curvature-based metric, where image patches are generated using endoluminal CT colonography surface rendering. T...

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Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography.

PURPOSE Computed tomographic (CT) colonography is a relatively new technique for detecting bowel cancer or potentially precancerous polyps. CT scanning is combined with three-dimensional (3D) image reconstruction to produce a virtual endoluminal representation similar to optical colonoscopy. Because retained fluid and stool can mimic pathology, CT data are acquired with the bowel cleansed and i...

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ژورنال

عنوان ژورنال: Medical Image Analysis

سال: 2013

ISSN: 1361-8415

DOI: 10.1016/j.media.2013.04.006